efficientnet_b3.ra2_in1k
A EfficientNet image classification model. Trained on ImageNet-1k in timm using recipe template described below.
Params
10 M
Context
—
Downloads 30d
242 K
Likes
31
Download history
daily snapshots · 93 days
▲ 202 K in the last 30 days (45.4%)
374 K242 K
Oct 12Oct 22Nov 1Nov 10
12.7 M242 K
Aug 13Sep 12Oct 12Nov 10
12.7 M242 K
Aug 10Sep 10Oct 11Nov 10
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f32 | 0.0 GB | 0.6 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Parameters
- 10 M
- Tensor type
- F32
- Licence
- apache-2.0
- First seen on the Hub
- 2022-12-12
- Training datasets
- imagenet-1k
- Added to our catalog
- 2026-08-10
Compare with any image-classification model